Model Trained Using AutoTrain

Problem type: Multi-class Classification
- Text Sentiment Analysis: Positive, Neutral, Negative
Model ID: 1770161501
CO2 Emissions (in grams): 1.6082

Validation Metrics

Loss: 0.599
Accuracy: 0.821
Macro F1: 0.677
Micro F1: 0.821
Weighted F1: 0.814
Macro Precision: 0.741
Micro Precision: 0.821
Weighted Precision: 0.825
Macro Recall: 0.683
Micro Recall: 0.821
Weighted Recall: 0.821

Usage

You can use cURL to access this model:

$ curl -X POST -H "Authorization: Bearer YOUR_API_KEY" -H "Content-Type: application/json" -d '{"inputs": "I love AutoTrain"}' https://api-inference.huggingface.co/models/jwan2021/autotrain-poem-sentiment-analysis-1770161501

Or Python API:

from transformers import AutoModelForSequenceClassification, AutoTokenizer

model = AutoModelForSequenceClassification.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161501", use_auth_token=True)

tokenizer = AutoTokenizer.from_pretrained("jwan2021/autotrain-poem-sentiment-analysis-1770161501", use_auth_token=True)

inputs = tokenizer("I love AutoTrain", return_tensors="pt")

outputs = model(**inputs)